This project predicts the category of a claim based on features available early in the process, helping BNP Paribas Cardif accelerate its claims process and therefore provide a better service to its customers.

Data Preprocessing:

1. Feature Selection
   
2. Data Imputation
   
3. Log Transformations of skewed features
   
4. Outlier Detection & Removal
   

Machine Learning:
Ensemble of XGBoost & Extra Trees Classifier (with parameter tuning)